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Title |
Open-Source Intelligence (OSINT)-based Technologies for Online Payments in Saudi Arabia |
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Author |
Ahlam Alhalafi, Prakash Veeraraghavan, Dalal Hanna |
| Citation |
Vol. 25 No. 8 pp. 41-52 |
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Abstract |
This research examines how open source intelligence (OSINT) applications are used to secure online payment systems. These technologies could transform digital transaction security in the face of rising cyberthreats. The research shows how AI and blockchain can automate threat detection, ensure data integrity, and enable secure, transparent transactions, offering promising solutions to online payment system issues. It also discusses implementation issues like regulatory compliance, scalability, and the need for specialized technology management knowledge. The study explains how AI and blockchain strengthen online payment systems against fraud and cyberattacks, making the digital financial landscape more secure through theoretical frameworks, case studies, and real-world applications. The study also places its findings in the context of Saudi Arabia's Vision 2030 initiative to digitize the economy and integrate cutting-edge technologies across sectors, including finance. It discusses Saudi challenges and opportunities, such as the need for tailored blockchain solutions and the strategic importance of developing a skilled workforce to support AI adoption. The research helps policymakers, industry practitioners, and academics understand the potential impacts, ethical concerns, and practical challenges of using AI and blockchain to improve payment security. It emphasizes strategic planning, cross-sector collaboration, and ongoing innovation in using these technologies to protect Saudi Arabian and international online payment systems. |
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Keywords |
Open source intelligence (OSINT), online payment, Saudi Arabia |
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